change the download channels to oclchannles() fix bugs of arithm functions perf fix of bilateral bug fix of split test case add build_warps functions
		
			
				
	
	
		
			113 lines
		
	
	
		
			4.3 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			113 lines
		
	
	
		
			4.3 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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//  By downloading, copying, installing or using the software you agree to this license.
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//  If you do not agree to this license, do not download, install,
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//  copy or use the software.
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//
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//
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//                           License Agreement
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//                For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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//    Fangfang Bai, fangfang@multicorewareinc.com
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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//   * Redistribution's of source code must retain the above copyright notice,
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//     this list of conditions and the following disclaimer.
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//
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//   * Redistribution's in binary form must reproduce the above copyright notice,
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//     this list of conditions and the following disclaimer in the documentation
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//     and/or other oclMaterials provided with the distribution.
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//
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//   * The name of the copyright holders may not be used to endorse or promote products
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//     derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors as is and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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using namespace std;
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#ifdef HAVE_CLAMDBLAS
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////////////////////////////////////////////////////////////////////////////
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// GEMM
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PARAM_TEST_CASE(Gemm, int, cv::Size, int)
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{
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    int      type;
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    cv::Size mat_size;
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    int		 flags;
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    vector<cv::ocl::Info> info;
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    virtual void SetUp()
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    {
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        type     = GET_PARAM(0);
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        mat_size = GET_PARAM(1);
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        flags    = GET_PARAM(2);
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        cv::ocl::getDevice(info);
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    }
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};
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TEST_P(Gemm, Performance)
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{
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    cv::Mat a = randomMat(mat_size, type, 0.0, 10.0);
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    cv::Mat b = randomMat(mat_size, type, 0.0, 10.0);
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    cv::Mat c = randomMat(mat_size, type, 0.0, 10.0);
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    cv::ocl::oclMat ocl_dst;
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    double totalgputick = 0;
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    double totalgputick_kernel = 0;
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    double t1 = 0;
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    double t2 = 0;
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    for(int j = 0; j < LOOP_TIMES + 1; j ++)
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    {
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        t1 = (double)cvGetTickCount();//gpu start1
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        cv::ocl::oclMat ga = cv::ocl::oclMat(a);//upload
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        cv::ocl::oclMat gb = cv::ocl::oclMat(b);//upload
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        cv::ocl::oclMat gc = cv::ocl::oclMat(c);//upload
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        t2 = (double)cvGetTickCount(); //kernel
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        cv::ocl::gemm(ga, gb, 1.0, gc, 1.0, ocl_dst, flags);
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        t2 = (double)cvGetTickCount() - t2;//kernel
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        cv::Mat cpu_dst;
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        ocl_dst.download (cpu_dst);//download
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        t1 = (double)cvGetTickCount() - t1;//gpu end
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        if(j == 0)
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            continue;
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        totalgputick = t1 + totalgputick;
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        totalgputick_kernel = t2 + totalgputick_kernel;
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    }
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    cout << "average gpu runtime is  " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
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    cout << "average gpu runtime without data transfer is  " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;
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}
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INSTANTIATE_TEST_CASE_P(ocl_gemm, Gemm, testing::Combine(
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                            testing::Values(CV_32FC1, CV_32FC2/* , CV_64FC1, CV_64FC2*/),
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                            testing::Values(cv::Size(512, 512), cv::Size(1024, 1024)),
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                            testing::Values(0, cv::GEMM_1_T, cv::GEMM_2_T, cv::GEMM_1_T + cv::GEMM_2_T)));
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#endif |